Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "135"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 135 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 37 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 35 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 135, Node N12:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459852 digital_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 0.088031 16.608631 5.802777 28.351495 2.426509 20.034128 7.883218 16.376252 0.7816 0.0338 0.4596 8.132465 1.203491
2459851 digital_maintenance 100.00% 0.00% 98.28% 0.00% 100.00% 0.00% -1.015484 21.081065 6.623990 30.273206 2.374841 43.619041 1.951506 19.248025 0.7060 0.0694 0.4677 2.824847 1.186150
2459850 digital_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% -1.525529 18.698659 5.587029 25.193428 0.514666 19.971260 0.720318 14.354501 0.6965 0.0403 0.4598 3.148474 1.201837
2459849 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459848 digital_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.872784 0.046593 -0.653302 -0.367069 0.326129 0.040656 0.214865 -0.144853 0.6819 0.7305 0.4017 3.310738 3.067636
2459847 digital_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.199933 -0.109145 -0.494378 -0.091815 0.121114 0.124797 0.691008 -0.023156 0.6920 0.6624 0.4476 7.777441 5.662847
2459845 digital_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.625575 -0.120796 -0.039788 -0.919268 0.293951 -0.274348 2.057112 0.329851 0.6889 0.7159 0.3966 0.000000 0.000000
2459844 digital_maintenance 0.00% 100.00% 100.00% 0.00% - - 0.089286 -0.589371 -0.021252 0.756137 0.015244 -0.550210 0.755617 0.239145 0.0265 0.0246 0.0013 nan nan
2459843 digital_maintenance 0.00% 1.20% 0.66% 0.00% 100.00% 0.00% -0.970414 0.571934 -0.479900 2.909079 -0.347972 2.658965 0.672608 0.395658 0.7090 0.7148 0.4015 3.431947 2.981005
2459842 digital_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.842866 -0.116295 -0.245523 2.192107 0.291778 0.174430 0.559489 0.550305 0.7422 0.6366 0.2827 4.308655 3.840917
2459841 digital_maintenance 0.00% 100.00% 100.00% 0.00% - - 1.316608 3.463715 -0.780282 2.268893 -0.128023 -1.312248 1.057442 0.131130 0.0273 0.0245 0.0019 nan nan
2459840 digital_maintenance 100.00% 100.00% 100.00% 0.00% - - 123.370365 178.189959 62.792671 95.196935 1714.561851 10095.822977 1903.011361 5348.794008 0.0196 0.0163 0.0023 nan nan
2459839 digital_maintenance 100.00% - - - - - 33.252780 57.751576 171.482508 338.238260 293.418959 1149.695646 2200.176445 8038.498113 nan nan nan nan nan
2459838 digital_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.227682 0.126824 -1.040233 -0.763148 0.550772 1.353649 -0.012972 -0.395604 0.6546 0.6317 0.4061 0.000000 0.000000
2459836 digital_maintenance - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0352 0.0337 0.0013 nan nan
2459835 digital_maintenance 0.00% 100.00% 100.00% 0.00% - - -1.001498 -0.239844 -0.456043 -1.012562 -0.634340 -1.048671 0.609285 -0.470720 0.0361 0.0333 0.0015 nan nan
2459833 digital_maintenance 0.00% 100.00% 100.00% 0.00% - - -0.671448 -1.045131 0.512969 0.675843 0.653487 2.413572 2.033700 0.177135 0.0324 0.0317 0.0018 nan nan
2459832 digital_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.274468 -0.166524 -1.091725 -0.631776 0.161877 -0.126737 0.689732 -0.279811 0.7395 0.4588 0.5471 3.825100 2.996166
2459831 digital_maintenance 0.00% 100.00% 100.00% 0.00% - - -1.098854 -1.214417 -0.277623 0.477991 0.004178 1.386554 1.727950 -0.235108 0.0351 0.0317 0.0028 nan nan
2459830 digital_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.314623 -0.010609 -1.091157 -0.979768 -0.504443 0.360673 1.402941 0.059715 0.7401 0.4788 0.5275 4.432546 3.247637
2459829 digital_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.327892 0.697708 -0.933558 -0.901711 0.024275 0.408488 0.947434 -0.282335 0.6728 0.5972 0.4009 8.092853 6.742973
2459828 digital_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.691716 0.570654 -0.697732 -0.751137 0.131768 -0.648938 3.243314 1.942140 0.7328 0.4791 0.5078 6.402862 3.200042
2459827 digital_maintenance 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.589469 0.156941 -0.833998 -0.746646 -0.339981 -0.099854 1.398413 1.459807 0.0804 0.0910 0.0144 1.316968 1.316333
2459826 digital_maintenance 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.187826 -0.022717 -0.805722 -0.833903 -0.012712 -0.649264 0.582925 -0.369614 0.0901 0.0965 0.0240 4.801142 7.110972
2459825 digital_maintenance 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -1.109242 0.210012 -1.023716 -0.702254 -0.645211 -0.524133 0.729328 0.109290 0.0775 0.0903 0.0196 1.200425 1.187491
2459824 digital_maintenance 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.438987 -0.474249 -1.029780 -0.902210 0.140384 -0.085869 1.455356 -0.117540 0.0805 0.0879 0.0127 1.196184 1.210900
2459823 digital_maintenance 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.505161 0.136650 -0.819738 -0.795755 -0.856199 -1.314302 -0.027468 -0.254507 0.0800 0.0830 0.0180 1.295809 1.293197
2459822 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.096550 0.439456 -0.934749 -0.891535 -0.358732 -0.946555 2.799916 4.535869 0.0959 0.0911 0.0262 1.275869 1.278106
2459821 digital_maintenance 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -1.477998 0.278335 -1.079256 -0.919261 -0.512177 -0.786278 0.619999 0.430089 0.0609 0.0624 0.0103 1.231216 1.229722
2459820 digital_maintenance 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -1.079635 0.077319 -0.899308 -0.884137 0.269485 0.075550 0.676304 -0.025789 0.0818 0.0860 0.0165 1.270711 1.270520
2459817 digital_maintenance 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.695376 -0.020239 -0.895388 -0.940352 -1.373590 -1.465802 -0.162888 -0.512453 0.1021 0.0991 0.0265 1.235580 1.229867
2459816 digital_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.884608 -0.072239 -1.187488 -0.768549 -0.450321 -1.421174 2.556973 0.268362 0.8398 0.5705 0.6082 5.033270 3.898425
2459815 digital_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.774894 -0.157807 -1.127003 -1.055108 -1.142892 -1.524181 2.097582 0.299673 0.7893 0.6376 0.5335 4.830366 3.942608
2459814 digital_maintenance 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 135: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Power 28.351495 0.088031 16.608631 5.802777 28.351495 2.426509 20.034128 7.883218 16.376252

Antenna 135: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Temporal Variability 43.619041 -1.015484 21.081065 6.623990 30.273206 2.374841 43.619041 1.951506 19.248025

Antenna 135: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Power 25.193428 -1.525529 18.698659 5.587029 25.193428 0.514666 19.971260 0.720318 14.354501

Antenna 135: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 135: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Variability 0.326129 0.046593 -0.872784 -0.367069 -0.653302 0.040656 0.326129 -0.144853 0.214865

Antenna 135: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 0.691008 -0.109145 -1.199933 -0.091815 -0.494378 0.124797 0.121114 -0.023156 0.691008

Antenna 135: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 2.057112 -0.120796 -0.625575 -0.919268 -0.039788 -0.274348 0.293951 0.329851 2.057112

Antenna 135: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Power 0.756137 0.089286 -0.589371 -0.021252 0.756137 0.015244 -0.550210 0.755617 0.239145

Antenna 135: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Power 2.909079 0.571934 -0.970414 2.909079 -0.479900 2.658965 -0.347972 0.395658 0.672608

Antenna 135: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Power 2.192107 -0.842866 -0.116295 -0.245523 2.192107 0.291778 0.174430 0.559489 0.550305

Antenna 135: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Shape 3.463715 1.316608 3.463715 -0.780282 2.268893 -0.128023 -1.312248 1.057442 0.131130

Antenna 135: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Temporal Variability 10095.822977 123.370365 178.189959 62.792671 95.196935 1714.561851 10095.822977 1903.011361 5348.794008

Antenna 135: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Temporal Discontinuties 8038.498113 57.751576 33.252780 338.238260 171.482508 1149.695646 293.418959 8038.498113 2200.176445

Antenna 135: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Temporal Variability 1.353649 0.126824 -1.227682 -0.763148 -1.040233 1.353649 0.550772 -0.395604 -0.012972

Antenna 135: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 0.609285 -0.239844 -1.001498 -1.012562 -0.456043 -1.048671 -0.634340 -0.470720 0.609285

Antenna 135: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Temporal Variability 2.413572 -1.045131 -0.671448 0.675843 0.512969 2.413572 0.653487 0.177135 2.033700

Antenna 135: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 0.689732 -1.274468 -0.166524 -1.091725 -0.631776 0.161877 -0.126737 0.689732 -0.279811

Antenna 135: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 1.727950 -1.098854 -1.214417 -0.277623 0.477991 0.004178 1.386554 1.727950 -0.235108

Antenna 135: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 1.402941 0.314623 -0.010609 -1.091157 -0.979768 -0.504443 0.360673 1.402941 0.059715

Antenna 135: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 0.947434 0.697708 -1.327892 -0.901711 -0.933558 0.408488 0.024275 -0.282335 0.947434

Antenna 135: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 3.243314 0.570654 -0.691716 -0.751137 -0.697732 -0.648938 0.131768 1.942140 3.243314

Antenna 135: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Temporal Discontinuties 1.459807 -0.589469 0.156941 -0.833998 -0.746646 -0.339981 -0.099854 1.398413 1.459807

Antenna 135: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 0.582925 -0.022717 0.187826 -0.833903 -0.805722 -0.649264 -0.012712 -0.369614 0.582925

Antenna 135: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 0.729328 0.210012 -1.109242 -0.702254 -1.023716 -0.524133 -0.645211 0.109290 0.729328

Antenna 135: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 1.455356 -0.438987 -0.474249 -1.029780 -0.902210 0.140384 -0.085869 1.455356 -0.117540

Antenna 135: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Shape 0.136650 0.136650 -0.505161 -0.795755 -0.819738 -1.314302 -0.856199 -0.254507 -0.027468

Antenna 135: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Temporal Discontinuties 4.535869 -0.096550 0.439456 -0.934749 -0.891535 -0.358732 -0.946555 2.799916 4.535869

Antenna 135: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 0.619999 0.278335 -1.477998 -0.919261 -1.079256 -0.786278 -0.512177 0.430089 0.619999

Antenna 135: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 0.676304 -1.079635 0.077319 -0.899308 -0.884137 0.269485 0.075550 0.676304 -0.025789

Antenna 135: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Shape -0.020239 -0.695376 -0.020239 -0.895388 -0.940352 -1.373590 -1.465802 -0.162888 -0.512453

Antenna 135: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 2.556973 -0.072239 -0.884608 -0.768549 -1.187488 -1.421174 -0.450321 0.268362 2.556973

Antenna 135: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance ee Temporal Discontinuties 2.097582 -0.157807 -0.774894 -1.055108 -1.127003 -1.524181 -1.142892 0.299673 2.097582

Antenna 135: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 135: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
135 N12 digital_maintenance nn Shape nan nan nan inf inf nan nan nan nan
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